Tidy a(n) aareg object
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'aareg' tidy(x, ...)
x |
An |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
robust.se is only present when x was created with
dfbeta = TRUE.
A tibble::tibble() with columns:
estimate |
The estimated value of the regression term. |
p.value |
The two-sided p-value associated with the observed statistic. |
robust.se |
robust version of standard error estimate. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
std.error |
The standard error of the regression term. |
term |
The name of the regression term. |
z |
z score. |
Other aareg tidiers:
glance.aareg()
Other survival tidiers:
augment.coxph(),
augment.survreg(),
glance.aareg(),
glance.cch(),
glance.coxph(),
glance.pyears(),
glance.survdiff(),
glance.survexp(),
glance.survfit(),
glance.survreg(),
tidy.cch(),
tidy.coxph(),
tidy.pyears(),
tidy.survdiff(),
tidy.survexp(),
tidy.survfit(),
tidy.survreg()
if (requireNamespace("survival", quietly = TRUE)) {
library(survival)
afit <- aareg(
Surv(time, status) ~ age + sex + ph.ecog,
data = lung,
dfbeta = TRUE
)
tidy(afit)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.